Signal-first outbound for B2B SaaS, aimed by your real ICP

The approach

We sell to signals. Not to lists.

A bought list goes stale the day you get it — it’s a snapshot of a category, frozen. We build you a system that watches the market live and reaches companies the moment they’re in the same situation your best deals were.

Retrain loop every win sharpens
the signals we trust

1 Analyze

What your market shows, and what made your best deals close.

2 Map

Turn those moments into signals to watch for.

3 Catch

Find the companies in that moment right now.

4 Reach

Reach out on the trigger, then feed every result back.

How it works

From real ICP to signal-based outbound.

One system in two parts. The first learns who really buys; the second turns that into pipeline. The output of one is the input of the other.

1 Revenue Intelligence

Find your real ICP

We pull together your sales and marketing data — not for volume, but to find the pattern behind who actually buys. The output isn’t “SaaS, 50 people.” It’s the situation that turns a company into a buyer — your real ICP.

analytics.lamparalab.com

ICP forward
wins back

2 GTM Engine

Fill your pipeline with their twins

We take that situation, build a system of signals around it, and watch the market live. The moment a company hits the same conditions, we reach out — while the reason is still fresh.

gtm.lamparalab.com

Lampara Prospects screen — companies caught on a live hiring signal, each scored Hot or Warm against the ICP.

Where you start

Two starting points. One engine.

You have closed-won history

We read the pattern behind who already bought — from your sales data and what you and your team know about those wins. Around 15 accounts is usually enough, and an export or a sales table will do.

You’re earlier

We start from your current customers, pipeline and market knowledge, narrow it to 2–3 hypotheses, and let the market decide which one holds.

See it in action

Lampara in 45 seconds.

Free · no card, no commitment

Free Buying Signals Test. Your first ICP and a list of in-market companies, in five days.

Yours to keep, even if you never become a customer.

A first version of your ICP — read from what your market already shows
A list of in-market companies — each with the reason it matched
A 45-minute readout — what we found and what we’d do next

Start a free signals test →

Nothing to connect · no card required

Compare

Three ways to build pipeline.

	Lampara	Typical agency	In-house hire
How your ICP is built	From your closed-won — or from tested hypotheses, if you’re earlier	Industry + size filters	Defined by the hire
What it runs on	Our own code at the core	Off-the-shelf tools	Chosen by the hire
How the outreach starts	A reason we noticed you now	Often opens with an offer	Up to the hire
Who runs it	An analyst + a GTM engineer	Assigned account team	One person, in-house
When something breaks	Monitored and backed up	Depends on the stack	On the hire to fix
What you commit to	$1,000–2,500/mo monthly to start · no setup fee	$4,500–8,500/mo often 6-month minimum · setup fee common	~$170K/yr + benefits*

* Illustrative 2026 figures from public GTM-engineer listings and agency pricing; actual costs vary by scope and market. Reflects common agency approaches, not any specific provider.

Who’s behind it

“Being in the right place at the right time used to be luck. I believe it can be engineered.”

After eight years in product marketing and growth, I came to a simple conclusion: finding companies isn’t hard. Finding them when they’re most likely to buy is.

As inboxes filled up and AI made outreach easier to scale, reaching people became easier than ever. Earning their attention became harder.

So I stopped relying on cold lists and volume. I built this for myself first — a way to identify the right opportunities earlier and act when the timing actually lands.

Anna Orestova,
GTM Strategist · Founder, LamparaLab · LinkedIn

Insights

Notes on signal-based GTM, real ICPs, and what actually moves pipeline.

ICP & Buying Signals

ICP Competitor Analysis: Why Customer Lists Mislead

Competitor customer lists show who buys today, not how they were won. What 135 customer records across 15 B2B sellers revealed. Here's the rewind.

August 8, 2026 · 6 min read

ICP & Buying Signals

What Revenue Analysis Misses About B2B SaaS Growth

Revenue analysis shows where deals stall, but rarely why. In B2B SaaS the real leak is timing — reaching good-fit accounts at the wrong moment. Here's the fix.

July 11, 2026 · 11 min read

ICP & Buying Signals

Ideal Customer Profile Framework for B2B SaaS: The ICP-to-Revenue Journey

An ideal customer profile framework for B2B SaaS that reverses customer journey analysis — start from Closed Won deals, derive your ICP from real revenue, then connect HubSpot and GA4 backward to find the patterns that produce revenue.

May 27, 2026 · 15 min read

All articles →

Let’s build your right-place-right-time engine.

The moment that used to be luck, made repeatable — from your own data.

Start a free signals test →

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